cua
★ 30.7k
vs
AgentRunKit
★ 35
cua vs AgentRunKit
cua: Cua is an open-source platform designed for building, benchmarking, and deploying AI agents capable of interacting with any computer. It provides isolated, self-hostable sandboxes using technologies like Docker, QEMU, and Apple Vz for agentic UI automation and secure code execution.; AgentRunKit: AgentRunKit is a lightweight Swift 6 framework for building LLM-powered agents with type-safe tool calling. It features zero dependencies, full Sendable support, async/await concurrency, and compatibility with both cloud and on-device models via MCP.
01
TL;DR
cuaLLM Infra · ★ 30.7k
When to choose:
- You are building Computer-Use agents and need robust, self-hostable isolated desktop/VM sandboxes (Docker, QEMU, Apple Vz).
- You need native app operating drivers, standardized benchmarking harnesses, and secure isolation for autonomous agent task execution.
When to skip:
- You only need simple UI macros on your personal physical machine (Windows-MCP or local desktop helpers are easier).
- Your agents interact solely via text APIs, shell commands, or databases and have no need for a virtual graphical desktop.
AgentRunKitLLM Infra · ★ 35
Build AI-powered chatbots with tool integration
02
Side-by-Side Comparison
Field
cuaAgentRunKitCategory
LLM Infra
LLM Infra
Stars
★ 30.7k
★ 35
License
MIT
MIT
Install Command
curl -fsSL https://cua.ai/install.sh | sh
swift package add https://github.com/Tom-Ryder/AgentRunKit.git
Updated
1d ago
3w ago
Open Source
Yes
Yes
Tags
AI Agents, Virtualization, UI Automation
agent-framework, ai-agents, anthropic
03
Features
cua01Build AI agents for desktop UI automation and interaction.
02Provide isolated code execution environments (sandboxes).
03Benchmark computer-use models with standardized tasks.
04Train agents using reinforcement learning environments.
05Manage high-performance macOS/Linux VMs on Apple Silicon.
AgentRunKit01Agent loop with configurable iteration limits and token budgets
02Streaming with AsyncThrowingStream and @Observable SwiftUI wrapper
03Type-safe tools with compile-time JSON schema validation
04Sub-agent composition with depth control and streaming propagation
05Multimodal input: images, audio, video, PDF
04
Use Cases
cua↳Developing and deploying AI agents for autonomous desktop interaction and task completion.
↳Creating secure, isolated code execution environments for AI coding assistants and development workflows.
↳Benchmarking and training computer-use agents using standardized tasks and reinforcement learning.
AgentRunKit↳Build AI-powered chatbots with tool integration
↳Automate complex workflows using LLM agents
↳Create intelligent assistants for on-device or cloud inference
05
Best For
cuaMost PopularEssentialTrending
AgentRunKit—
FAQ
FAQ
What is the difference between cua and AgentRunKit?
Both cua and AgentRunKit are in the LLM Infra category. cua has 30.7k stars, while AgentRunKit has 35 stars.
Which is better, cua or AgentRunKit?
The best choice depends on your use case. Choose cua if Developing and deploying AI agents for autonomous desktop interaction and task completion., and AgentRunKit if Build AI-powered chatbots with tool integration.
Is cua free or open source?
Yes, cua is open source on GitHub (MIT).
Is AgentRunKit free or open source?
Yes, AgentRunKit is open source on GitHub (MIT).
Cloud Infrastructure
AdDeploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.
→